Dataset statistics
| Number of variables | 25 |
|---|---|
| Number of observations | 5000 |
| Missing cells | 6661 |
| Missing cells (%) | 5.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.7 MiB |
| Average record size in memory | 780.9 B |
Variable types
| Text | 2 |
|---|---|
| Categorical | 13 |
| Numeric | 9 |
| Boolean | 1 |
customer_lifecycle_finished_flag has constant value "True" | Constant |
baby_age_first_order is highly overall correlated with baby_age_last_order and 2 other fields | High correlation |
baby_age_last_order is highly overall correlated with baby_age_first_order and 1 other fields | High correlation |
baby_residual_lifecycle is highly overall correlated with baby_age_first_order and 2 other fields | High correlation |
cltv is highly overall correlated with customer_lifecycle and 1 other fields | High correlation |
customer_lifecycle is highly overall correlated with cltv and 2 other fields | High correlation |
first_order_channel is highly overall correlated with first_order_channel_grp and 1 other fields | High correlation |
first_order_channel_grp is highly overall correlated with first_order_channel and 1 other fields | High correlation |
first_order_jar is highly overall correlated with order_conversion_jar | High correlation |
first_repurchase_interval is highly overall correlated with customer_lifecycle and 1 other fields | High correlation |
frisomum is highly overall correlated with stage_f0 | High correlation |
gold is highly overall correlated with order_conversion_jar and 2 other fields | High correlation |
last_repurchase_interval is highly overall correlated with cltv and 2 other fields | High correlation |
order_conversion_jar is highly overall correlated with first_order_jar and 1 other fields | High correlation |
prestige is highly overall correlated with gold and 1 other fields | High correlation |
reg_channel is highly overall correlated with first_order_channel and 4 other fields | High correlation |
reg_channel_grp is highly overall correlated with reg_channel | High correlation |
stage_f0 is highly overall correlated with frisomum | High correlation |
stage_f1 is highly overall correlated with stage_f2 | High correlation |
stage_f2 is highly overall correlated with stage_f1 | High correlation |
stage_f3 is highly overall correlated with baby_age_first_order and 1 other fields | High correlation |
reg_channel is highly imbalanced (54.8%) | Imbalance |
first_order_channel is highly imbalanced (87.0%) | Imbalance |
frisomum is highly imbalanced (89.5%) | Imbalance |
stage_f0 is highly imbalanced (89.5%) | Imbalance |
stage_f3 is highly imbalanced (75.8%) | Imbalance |
stage_f4 is highly imbalanced (98.3%) | Imbalance |
first_order_channel_grp is highly imbalanced (72.9%) | Imbalance |
reg_channel_grp is highly imbalanced (50.1%) | Imbalance |
first_repurchase_interval has 3552 (71.0%) missing values | Missing |
last_repurchase_interval has 2963 (59.3%) missing values | Missing |
first_order_province has 119 (2.4%) missing values | Missing |
baby_age_first_order is highly skewed (γ1 = 25.07499143) | Skewed |
baby_age_last_order is highly skewed (γ1 = 25.41472605) | Skewed |
dac_id has unique values | Unique |
baby_age_first_order has 399 (8.0%) zeros | Zeros |
baby_age_last_order has 329 (6.6%) zeros | Zeros |
first_repurchase_interval has 51 (1.0%) zeros | Zeros |
last_repurchase_interval has 626 (12.5%) zeros | Zeros |
Reproduction
| Analysis started | 2026-01-12 05:58:52.165034 |
|---|---|
| Analysis finished | 2026-01-12 05:59:06.489767 |
| Duration | 14.32 seconds |
| Software version | ydata-profiling v0.0.dev0 |
| Download configuration | config.json |
dac_id
Text
UNIQUE
| Distinct | 5000 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 493.2 KiB |
Length
| Max length | 36 |
|---|---|
| Median length | 36 |
| Mean length | 36 |
| Min length | 36 |
Characters and Unicode
| Total characters | 180000 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 5000 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 787e290e-d683-11e8-8187-022fee61b306 |
|---|---|
| 2nd row | 5b636287-d684-11e8-8187-022fee61b306 |
| 3rd row | d2e74f16-d683-11e8-8187-022fee61b306 |
| 4th row | 5faaacca-d684-11e8-8187-022fee61b306 |
| 5th row | bb2c7df4-d684-11e8-8187-022fee61b306 |
| Value | Count | Frequency (%) |
| 787e290e-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 711597a5-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| bb2c7df4-d684-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 127b1090-d684-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 192eb3e8-d684-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 84896107-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 852f779a-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| f9c64f4c-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| 8efc79ac-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| bf6963e5-d683-11e8-8187-022fee61b306 | 1 | < 0.1% |
| Other values (4990) | 4990 |
Most occurring characters
| Value | Count | Frequency (%) |
| 8 | 22653 | |
| 1 | 22345 | |
| - | 20000 | |
| 6 | 17542 | |
| e | 17427 | |
| 2 | 12366 | |
| 0 | 12323 | |
| 3 | 10049 | 5.6% |
| d | 7698 | 4.3% |
| b | 7674 | 4.3% |
| Other values (7) | 29923 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 180000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 8 | 22653 | |
| 1 | 22345 | |
| - | 20000 | |
| 6 | 17542 | |
| e | 17427 | |
| 2 | 12366 | |
| 0 | 12323 | |
| 3 | 10049 | 5.6% |
| d | 7698 | 4.3% |
| b | 7674 | 4.3% |
| Other values (7) | 29923 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 180000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 8 | 22653 | |
| 1 | 22345 | |
| - | 20000 | |
| 6 | 17542 | |
| e | 17427 | |
| 2 | 12366 | |
| 0 | 12323 | |
| 3 | 10049 | 5.6% |
| d | 7698 | 4.3% |
| b | 7674 | 4.3% |
| Other values (7) | 29923 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 180000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 8 | 22653 | |
| 1 | 22345 | |
| - | 20000 | |
| 6 | 17542 | |
| e | 17427 | |
| 2 | 12366 | |
| 0 | 12323 | |
| 3 | 10049 | 5.6% |
| d | 7698 | 4.3% |
| b | 7674 | 4.3% |
| Other values (7) | 29923 |
reg_channel
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 13 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 515.0 KiB |
| 线下 | |
|---|---|
| CRM系统 | |
| 品牌微信 | |
| 天猫旗舰店 | 103 |
| 京东商城 | 38 |
| Other values (8) | 37 |
Length
| Max length | 6 |
|---|---|
| Median length | 2 |
| Mean length | 3.1712 |
| Min length | 2 |
Characters and Unicode
| Total characters | 15856 |
|---|---|
| Distinct characters | 43 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 线下 |
|---|---|
| 2nd row | CRM系统 |
| 3rd row | CRM系统 |
| 4th row | 线下 |
| 5th row | 品牌微信 |
Common Values
| Value | Count | Frequency (%) |
| 线下 | 2682 | |
| CRM系统 | 1146 | |
| 品牌微信 | 994 | 19.9% |
| 天猫旗舰店 | 103 | 2.1% |
| 京东商城 | 38 | 0.8% |
| 美囤 | 12 | 0.2% |
| KA合作伙伴 | 7 | 0.1% |
| 官方网站 | 7 | 0.1% |
| 其他 | 4 | 0.1% |
| 蜜芽 | 3 | 0.1% |
| Other values (3) | 4 | 0.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 线下 | 2682 | |
| crm系统 | 1146 | |
| 品牌微信 | 994 | 19.9% |
| 天猫旗舰店 | 103 | 2.1% |
| 京东商城 | 38 | 0.8% |
| 美囤 | 12 | 0.2% |
| ka合作伙伴 | 7 | 0.1% |
| 官方网站 | 7 | 0.1% |
| 其他 | 4 | 0.1% |
| 蜜芽 | 3 | 0.1% |
| Other values (3) | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 线 | 2682 | |
| 下 | 2682 | |
| C | 1146 | |
| R | 1146 | |
| M | 1146 | |
| 系 | 1146 | |
| 统 | 1146 | |
| 微 | 994 | 6.3% |
| 信 | 994 | 6.3% |
| 牌 | 994 | 6.3% |
| Other values (33) | 1780 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15856 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 线 | 2682 | |
| 下 | 2682 | |
| C | 1146 | |
| R | 1146 | |
| M | 1146 | |
| 系 | 1146 | |
| 统 | 1146 | |
| 微 | 994 | 6.3% |
| 信 | 994 | 6.3% |
| 牌 | 994 | 6.3% |
| Other values (33) | 1780 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15856 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 线 | 2682 | |
| 下 | 2682 | |
| C | 1146 | |
| R | 1146 | |
| M | 1146 | |
| 系 | 1146 | |
| 统 | 1146 | |
| 微 | 994 | 6.3% |
| 信 | 994 | 6.3% |
| 牌 | 994 | 6.3% |
| Other values (33) | 1780 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15856 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 线 | 2682 | |
| 下 | 2682 | |
| C | 1146 | |
| R | 1146 | |
| M | 1146 | |
| 系 | 1146 | |
| 统 | 1146 | |
| 微 | 994 | 6.3% |
| 信 | 994 | 6.3% |
| 牌 | 994 | 6.3% |
| Other values (33) | 1780 |
baby_residual_lifecycle
Real number (ℝ)
HIGH CORRELATION
| Distinct | 773 |
|---|---|
| Distinct (%) | 15.5% |
| Missing | 19 |
| Missing (%) | 0.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1290.9661 |
| Minimum | 39 |
|---|---|
| Maximum | 2900 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 39 |
|---|---|
| 5-th percentile | 1088 |
| Q1 | 1187 |
| median | 1284 |
| Q3 | 1401 |
| 95-th percentile | 1544 |
| Maximum | 2900 |
| Range | 2861 |
| Interquartile range (IQR) | 214 |
Descriptive statistics
| Standard deviation | 186.23757 |
|---|---|
| Coefficient of variation (CV) | 0.14426218 |
| Kurtosis | 10.506228 |
| Mean | 1290.9661 |
| Median Absolute Deviation (MAD) | 107 |
| Skewness | -0.05022263 |
| Sum | 6430302 |
| Variance | 34684.434 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1248 | 25 | 0.5% |
| 1156 | 23 | 0.5% |
| 1368 | 23 | 0.5% |
| 1247 | 22 | 0.4% |
| 1217 | 22 | 0.4% |
| 1338 | 22 | 0.4% |
| 1218 | 21 | 0.4% |
| 1214 | 20 | 0.4% |
| 1192 | 20 | 0.4% |
| 1243 | 20 | 0.4% |
| Other values (763) | 4763 |
| Value | Count | Frequency (%) |
| 39 | 1 | |
| 66 | 1 | |
| 144 | 1 | |
| 207 | 1 | |
| 313 | 1 | |
| 314 | 1 | |
| 336 | 1 | |
| 362 | 1 | |
| 363 | 1 | |
| 364 | 1 |
| Value | Count | Frequency (%) |
| 2900 | 1 | |
| 2827 | 1 | |
| 2816 | 1 | |
| 2690 | 1 | |
| 2666 | 1 | |
| 2647 | 1 | |
| 2620 | 1 | |
| 2561 | 1 | |
| 2455 | 1 | |
| 2400 | 1 |
baby_age_first_order
Real number (ℝ)
HIGH CORRELATION SKEWED ZEROS
| Distinct | 82 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 4 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.8476781 |
| Minimum | -47 |
|---|---|
| Maximum | 581 |
| Zeros | 399 |
| Zeros (%) | 8.0% |
| Negative | 582 |
| Negative (%) | 11.6% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | -47 |
|---|---|
| 5-th percentile | -3 |
| Q1 | 1 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 12 |
| Maximum | 581 |
| Range | 628 |
| Interquartile range (IQR) | 7 |
Descriptive statistics
| Standard deviation | 19.783417 |
|---|---|
| Coefficient of variation (CV) | 3.3831235 |
| Kurtosis | 707.56422 |
| Mean | 5.8476781 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 25.074991 |
| Sum | 29215 |
| Variance | 391.3836 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7 | 418 | 8.4% |
| 0 | 399 | 8.0% |
| 8 | 393 | 7.9% |
| 9 | 386 | 7.7% |
| 6 | 365 | 7.3% |
| 2 | 336 | 6.7% |
| 4 | 330 | 6.6% |
| 10 | 314 | 6.3% |
| 3 | 313 | 6.3% |
| 5 | 307 | 6.1% |
| Other values (72) | 1435 |
| Value | Count | Frequency (%) |
| -47 | 1 | < 0.1% |
| -36 | 1 | < 0.1% |
| -31 | 1 | < 0.1% |
| -29 | 2 | |
| -27 | 1 | < 0.1% |
| -25 | 3 | |
| -24 | 1 | < 0.1% |
| -23 | 1 | < 0.1% |
| -22 | 3 | |
| -21 | 4 |
| Value | Count | Frequency (%) |
| 581 | 1 | |
| 580 | 1 | |
| 577 | 1 | |
| 573 | 1 | |
| 572 | 1 | |
| 336 | 1 | |
| 128 | 1 | |
| 96 | 1 | |
| 80 | 1 | |
| 71 | 1 |
baby_age_last_order
Real number (ℝ)
HIGH CORRELATION SKEWED ZEROS
| Distinct | 78 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 4 |
| Missing (%) | 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.1857486 |
| Minimum | -47 |
|---|---|
| Maximum | 581 |
| Zeros | 329 |
| Zeros (%) | 6.6% |
| Negative | 492 |
| Negative (%) | 9.8% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | -47 |
|---|---|
| 5-th percentile | -2 |
| Q1 | 2 |
| median | 6 |
| Q3 | 10 |
| 95-th percentile | 18 |
| Maximum | 581 |
| Range | 628 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 19.407684 |
|---|---|
| Coefficient of variation (CV) | 2.7008576 |
| Kurtosis | 740.40612 |
| Mean | 7.1857486 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 25.414726 |
| Sum | 35900 |
| Variance | 376.65818 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7 | 377 | 7.5% |
| 8 | 377 | 7.5% |
| 11 | 360 | 7.2% |
| 9 | 359 | 7.2% |
| 0 | 329 | 6.6% |
| 6 | 320 | 6.4% |
| 10 | 319 | 6.4% |
| 5 | 312 | 6.2% |
| 2 | 279 | 5.6% |
| 4 | 276 | 5.5% |
| Other values (68) | 1688 |
| Value | Count | Frequency (%) |
| -47 | 1 | < 0.1% |
| -25 | 1 | < 0.1% |
| -24 | 2 | < 0.1% |
| -22 | 2 | < 0.1% |
| -21 | 2 | < 0.1% |
| -19 | 3 | |
| -17 | 2 | < 0.1% |
| -16 | 5 | |
| -15 | 2 | < 0.1% |
| -14 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 581 | 1 | |
| 580 | 1 | |
| 577 | 1 | |
| 573 | 1 | |
| 572 | 1 | |
| 128 | 1 | |
| 96 | 1 | |
| 80 | 1 | |
| 71 | 1 | |
| 70 | 1 |
first_order_channel
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 540.0 KiB |
| 线下门店 | |
|---|---|
| 天猫 | 143 |
| 京东 | 57 |
| 其他电商 | 28 |
| 苏宁 | 3 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 3.9186 |
| Min length | 2 |
Characters and Unicode
| Total characters | 19593 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 线下门店 |
|---|---|
| 2nd row | 线下门店 |
| 3rd row | 线下门店 |
| 4th row | 线下门店 |
| 5th row | 线下门店 |
Common Values
| Value | Count | Frequency (%) |
| 线下门店 | 4768 | |
| 天猫 | 143 | 2.9% |
| 京东 | 57 | 1.1% |
| 其他电商 | 28 | 0.6% |
| 苏宁 | 3 | 0.1% |
| 一号店 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 线下门店 | 4768 | |
| 天猫 | 143 | 2.9% |
| 京东 | 57 | 1.1% |
| 其他电商 | 28 | 0.6% |
| 苏宁 | 3 | 0.1% |
| 一号店 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 店 | 4769 | |
| 线 | 4768 | |
| 下 | 4768 | |
| 门 | 4768 | |
| 天 | 143 | 0.7% |
| 猫 | 143 | 0.7% |
| 京 | 57 | 0.3% |
| 东 | 57 | 0.3% |
| 其 | 28 | 0.1% |
| 他 | 28 | 0.1% |
| Other values (6) | 64 | 0.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 19593 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 店 | 4769 | |
| 线 | 4768 | |
| 下 | 4768 | |
| 门 | 4768 | |
| 天 | 143 | 0.7% |
| 猫 | 143 | 0.7% |
| 京 | 57 | 0.3% |
| 东 | 57 | 0.3% |
| 其 | 28 | 0.1% |
| 他 | 28 | 0.1% |
| Other values (6) | 64 | 0.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 19593 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 店 | 4769 | |
| 线 | 4768 | |
| 下 | 4768 | |
| 门 | 4768 | |
| 天 | 143 | 0.7% |
| 猫 | 143 | 0.7% |
| 京 | 57 | 0.3% |
| 东 | 57 | 0.3% |
| 其 | 28 | 0.1% |
| 他 | 28 | 0.1% |
| Other values (6) | 64 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 19593 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 店 | 4769 | |
| 线 | 4768 | |
| 下 | 4768 | |
| 门 | 4768 | |
| 天 | 143 | 0.7% |
| 猫 | 143 | 0.7% |
| 京 | 57 | 0.3% |
| 东 | 57 | 0.3% |
| 其 | 28 | 0.1% |
| 他 | 28 | 0.1% |
| Other values (6) | 64 | 0.3% |
first_order_jar
Real number (ℝ)
HIGH CORRELATION
| Distinct | 19 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.8208 |
| Minimum | 1 |
|---|---|
| Maximum | 96 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 2 |
| Maximum | 96 |
| Range | 95 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 5.993686 |
|---|---|
| Coefficient of variation (CV) | 3.2917871 |
| Kurtosis | 133.23539 |
| Mean | 1.8208 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 10.874617 |
| Sum | 9104 |
| Variance | 35.924272 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 1 | 4638 | |
| 2 | 166 | 3.3% |
| 12 | 72 | 1.4% |
| 6 | 22 | 0.4% |
| 24 | 22 | 0.4% |
| 4 | 19 | 0.4% |
| 72 | 15 | 0.3% |
| 3 | 11 | 0.2% |
| 48 | 8 | 0.2% |
| 36 | 7 | 0.1% |
| Other values (9) | 20 | 0.4% |
| Value | Count | Frequency (%) |
| 1 | 4638 | |
| 2 | 166 | 3.3% |
| 3 | 11 | 0.2% |
| 4 | 19 | 0.4% |
| 5 | 4 | 0.1% |
| 6 | 22 | 0.4% |
| 7 | 1 | < 0.1% |
| 8 | 4 | 0.1% |
| 10 | 1 | < 0.1% |
| 12 | 72 | 1.4% |
| Value | Count | Frequency (%) |
| 96 | 5 | 0.1% |
| 84 | 1 | < 0.1% |
| 72 | 15 | 0.3% |
| 60 | 2 | < 0.1% |
| 48 | 8 | 0.2% |
| 36 | 7 | 0.1% |
| 24 | 22 | 0.4% |
| 18 | 1 | < 0.1% |
| 14 | 1 | < 0.1% |
| 12 | 72 |
order_conversion_jar
Real number (ℝ)
HIGH CORRELATION
| Distinct | 62 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.745186 |
| Minimum | 0.51 |
|---|---|
| Maximum | 96 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 0.51 |
|---|---|
| 5-th percentile | 0.95 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 2 |
| Maximum | 96 |
| Range | 95.49 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 5.5477936 |
|---|---|
| Coefficient of variation (CV) | 3.1789125 |
| Kurtosis | 134.59935 |
| Mean | 1.745186 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 10.889736 |
| Sum | 8725.93 |
| Variance | 30.778014 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 3584 | |
| 0.95 | 846 | 16.9% |
| 0.9 | 151 | 3.0% |
| 2 | 103 | 2.1% |
| 1.02 | 41 | 0.8% |
| 12 | 41 | 0.8% |
| 1.07 | 36 | 0.7% |
| 12.84 | 24 | 0.5% |
| 4 | 16 | 0.3% |
| 24 | 15 | 0.3% |
| Other values (52) | 143 | 2.9% |
| Value | Count | Frequency (%) |
| 0.51 | 7 | 0.1% |
| 0.59 | 2 | < 0.1% |
| 0.74 | 1 | < 0.1% |
| 0.83 | 2 | < 0.1% |
| 0.85 | 8 | 0.2% |
| 0.9 | 151 | 3.0% |
| 0.95 | 846 | 16.9% |
| 0.96 | 1 | < 0.1% |
| 1 | 3584 | |
| 1.02 | 41 | 0.8% |
| Value | Count | Frequency (%) |
| 96 | 2 | < 0.1% |
| 85.2 | 2 | < 0.1% |
| 72 | 10 | |
| 71.4 | 1 | < 0.1% |
| 68.4 | 1 | < 0.1% |
| 61.2 | 2 | < 0.1% |
| 60 | 2 | < 0.1% |
| 56.64 | 1 | < 0.1% |
| 52.32 | 1 | < 0.1% |
| 48 | 5 |
prestige
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3448 | |
| 1 | 1552 |
frisomum
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 | 69 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
gold
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 3385 | |
| 0 | 1615 |
stage_f0
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 | 69 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4931 | |
| 1 | 69 | 1.4% |
stage_f1
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 3065 | |
| 1 | 1935 |
stage_f2
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 2815 | |
| 0 | 2185 |
stage_f3
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 | 200 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4800 | |
| 1 | 200 | 4.0% |
stage_f4
Categorical
IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 322.3 KiB |
| 0 | |
|---|---|
| 1 | 8 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 5000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 5000 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 4992 | |
| 1 | 8 | 0.2% |
customer_lifecycle_finished_flag
Boolean
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 43.9 KiB |
| True |
|---|
| Value | Count | Frequency (%) |
| True | 5000 |
first_repurchase_interval
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 369 |
|---|---|
| Distinct (%) | 25.5% |
| Missing | 3552 |
| Missing (%) | 71.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 102.11188 |
| Minimum | 0 |
|---|---|
| Maximum | 883 |
| Zeros | 51 |
| Zeros (%) | 1.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 7 |
| median | 41 |
| Q3 | 147 |
| 95-th percentile | 385.3 |
| Maximum | 883 |
| Range | 883 |
| Interquartile range (IQR) | 140 |
Descriptive statistics
| Standard deviation | 137.91917 |
|---|---|
| Coefficient of variation (CV) | 1.3506673 |
| Kurtosis | 5.4472393 |
| Mean | 102.11188 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 2.120388 |
| Sum | 147858 |
| Variance | 19021.699 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 92 | 1.8% |
| 2 | 72 | 1.4% |
| 0 | 51 | 1.0% |
| 3 | 42 | 0.8% |
| 4 | 35 | 0.7% |
| 7 | 28 | 0.6% |
| 5 | 27 | 0.5% |
| 6 | 27 | 0.5% |
| 8 | 25 | 0.5% |
| 90 | 22 | 0.4% |
| Other values (359) | 1027 | 20.5% |
| (Missing) | 3552 |
| Value | Count | Frequency (%) |
| 0 | 51 | |
| 1 | 92 | |
| 2 | 72 | |
| 3 | 42 | |
| 4 | 35 | 0.7% |
| 5 | 27 | 0.5% |
| 6 | 27 | 0.5% |
| 7 | 28 | 0.6% |
| 8 | 25 | 0.5% |
| 9 | 19 | 0.4% |
| Value | Count | Frequency (%) |
| 883 | 1 | |
| 880 | 1 | |
| 876 | 1 | |
| 831 | 1 | |
| 788 | 1 | |
| 786 | 1 | |
| 715 | 1 | |
| 695 | 1 | |
| 694 | 1 | |
| 683 | 1 |
last_repurchase_interval
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 449 |
|---|---|
| Distinct (%) | 22.0% |
| Missing | 2963 |
| Missing (%) | 59.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 106.86843 |
| Minimum | 0 |
|---|---|
| Maximum | 1344 |
| Zeros | 626 |
| Zeros (%) | 12.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 25 |
| Q3 | 169 |
| 95-th percentile | 436 |
| Maximum | 1344 |
| Range | 1344 |
| Interquartile range (IQR) | 169 |
Descriptive statistics
| Standard deviation | 157.06475 |
|---|---|
| Coefficient of variation (CV) | 1.4697019 |
| Kurtosis | 5.0789482 |
| Mean | 106.86843 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 2.0166121 |
| Sum | 217691 |
| Variance | 24669.334 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 626 | 12.5% |
| 1 | 68 | 1.4% |
| 2 | 47 | 0.9% |
| 3 | 27 | 0.5% |
| 4 | 27 | 0.5% |
| 5 | 20 | 0.4% |
| 7 | 19 | 0.4% |
| 12 | 16 | 0.3% |
| 6 | 16 | 0.3% |
| 8 | 15 | 0.3% |
| Other values (439) | 1156 | 23.1% |
| (Missing) | 2963 |
| Value | Count | Frequency (%) |
| 0 | 626 | |
| 1 | 68 | 1.4% |
| 2 | 47 | 0.9% |
| 3 | 27 | 0.5% |
| 4 | 27 | 0.5% |
| 5 | 20 | 0.4% |
| 6 | 16 | 0.3% |
| 7 | 19 | 0.4% |
| 8 | 15 | 0.3% |
| 9 | 11 | 0.2% |
| Value | Count | Frequency (%) |
| 1344 | 1 | |
| 883 | 1 | |
| 880 | 1 | |
| 876 | 1 | |
| 843 | 1 | |
| 794 | 1 | |
| 790 | 1 | |
| 788 | 1 | |
| 786 | 1 | |
| 776 | 1 |
customer_lifecycle
Real number (ℝ)
HIGH CORRELATION
| Distinct | 478 |
|---|---|
| Distinct (%) | 9.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 416.2 |
| Minimum | 365 |
|---|---|
| Maximum | 1776 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 365 |
|---|---|
| 5-th percentile | 365 |
| Q1 | 365 |
| median | 365 |
| Q3 | 384 |
| 95-th percentile | 691.05 |
| Maximum | 1776 |
| Range | 1411 |
| Interquartile range (IQR) | 19 |
Descriptive statistics
| Standard deviation | 122.1957 |
|---|---|
| Coefficient of variation (CV) | 0.29359852 |
| Kurtosis | 14.270777 |
| Mean | 416.2 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.3586121 |
| Sum | 2081000 |
| Variance | 14931.79 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 365 | 2712 | |
| 366 | 295 | 5.9% |
| 367 | 158 | 3.2% |
| 368 | 95 | 1.9% |
| 369 | 77 | 1.5% |
| 371 | 59 | 1.2% |
| 370 | 58 | 1.2% |
| 372 | 43 | 0.9% |
| 375 | 42 | 0.8% |
| 374 | 32 | 0.6% |
| Other values (468) | 1429 |
| Value | Count | Frequency (%) |
| 365 | 2712 | |
| 366 | 295 | 5.9% |
| 367 | 158 | 3.2% |
| 368 | 95 | 1.9% |
| 369 | 77 | 1.5% |
| 370 | 58 | 1.2% |
| 371 | 59 | 1.2% |
| 372 | 43 | 0.9% |
| 373 | 32 | 0.6% |
| 374 | 32 | 0.6% |
| Value | Count | Frequency (%) |
| 1776 | 1 | |
| 1463 | 1 | |
| 1284 | 1 | |
| 1248 | 1 | |
| 1245 | 1 | |
| 1241 | 1 | |
| 1237 | 1 | |
| 1208 | 1 | |
| 1198 | 1 | |
| 1173 | 1 |
cltv
Real number (ℝ)
HIGH CORRELATION
| Distinct | 555 |
|---|---|
| Distinct (%) | 11.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.705092 |
| Minimum | 0.59 |
|---|---|
| Maximum | 172.08 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 78.1 KiB |
Quantile statistics
| Minimum | 0.59 |
|---|---|
| 5-th percentile | 0.95 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2.9 |
| 95-th percentile | 37 |
| Maximum | 172.08 |
| Range | 171.49 |
| Interquartile range (IQR) | 1.9 |
Descriptive statistics
| Standard deviation | 16.029066 |
|---|---|
| Coefficient of variation (CV) | 2.390581 |
| Kurtosis | 21.480805 |
| Mean | 6.705092 |
| Median Absolute Deviation (MAD) | 0.05 |
| Skewness | 4.2622216 |
| Sum | 33525.46 |
| Variance | 256.93094 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 2321 | |
| 0.95 | 457 | 9.1% |
| 2 | 406 | 8.1% |
| 1.9 | 188 | 3.8% |
| 2.07 | 89 | 1.8% |
| 13 | 72 | 1.4% |
| 1.95 | 66 | 1.3% |
| 3 | 48 | 1.0% |
| 1.8 | 40 | 0.8% |
| 4 | 32 | 0.6% |
| Other values (545) | 1281 |
| Value | Count | Frequency (%) |
| 0.59 | 1 | < 0.1% |
| 0.85 | 3 | 0.1% |
| 0.9 | 16 | 0.3% |
| 0.95 | 457 | 9.1% |
| 1 | 2321 | |
| 1.02 | 22 | 0.4% |
| 1.07 | 5 | 0.1% |
| 1.18 | 3 | 0.1% |
| 1.51 | 5 | 0.1% |
| 1.59 | 3 | 0.1% |
| Value | Count | Frequency (%) |
| 172.08 | 1 | |
| 168 | 1 | |
| 158.2 | 1 | |
| 142.48 | 1 | |
| 127.1 | 1 | |
| 126.8 | 1 | |
| 125.8 | 1 | |
| 125.6 | 1 | |
| 123.4 | 1 | |
| 119.2 | 1 |
MISSING
| Distinct | 78 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 119 |
| Missing (%) | 2.4% |
| Memory size | 510.0 KiB |
Length
| Max length | 8 |
|---|---|
| Median length | 3 |
| Mean length | 3.0036878 |
| Min length | 2 |
Characters and Unicode
| Total characters | 14661 |
|---|---|
| Distinct characters | 94 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 23 ? |
|---|---|
| Unique (%) | 0.5% |
Sample
| 1st row | 浙江省 |
|---|---|
| 2nd row | 广西壮族自治区 |
| 3rd row | 安徽省 |
| 4th row | 福建省 |
| 5th row | 广东省 |
| Value | Count | Frequency (%) |
| 广东省 | 727 | |
| 江苏省 | 651 | 13.3% |
| 浙江省 | 491 | 10.1% |
| 陕西省 | 222 | 4.5% |
| 北京市 | 204 | 4.2% |
| 湖南省 | 202 | 4.1% |
| 上海市 | 187 | 3.8% |
| 四川省 | 177 | 3.6% |
| 安徽省 | 175 | 3.6% |
| 辽宁省 | 162 | 3.3% |
| Other values (68) | 1683 |
Most occurring characters
| Value | Count | Frequency (%) |
| 省 | 3756 | |
| 江 | 1352 | 9.2% |
| 东 | 983 | 6.7% |
| 广 | 892 | 6.1% |
| 苏 | 712 | 4.9% |
| 市 | 584 | 4.0% |
| 浙 | 525 | 3.6% |
| 北 | 507 | 3.5% |
| 西 | 442 | 3.0% |
| 南 | 421 | 2.9% |
| Other values (84) | 4487 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 14661 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 省 | 3756 | |
| 江 | 1352 | 9.2% |
| 东 | 983 | 6.7% |
| 广 | 892 | 6.1% |
| 苏 | 712 | 4.9% |
| 市 | 584 | 4.0% |
| 浙 | 525 | 3.6% |
| 北 | 507 | 3.5% |
| 西 | 442 | 3.0% |
| 南 | 421 | 2.9% |
| Other values (84) | 4487 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 14661 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 省 | 3756 | |
| 江 | 1352 | 9.2% |
| 东 | 983 | 6.7% |
| 广 | 892 | 6.1% |
| 苏 | 712 | 4.9% |
| 市 | 584 | 4.0% |
| 浙 | 525 | 3.6% |
| 北 | 507 | 3.5% |
| 西 | 442 | 3.0% |
| 南 | 421 | 2.9% |
| Other values (84) | 4487 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 14661 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 省 | 3756 | |
| 江 | 1352 | 9.2% |
| 东 | 983 | 6.7% |
| 广 | 892 | 6.1% |
| 苏 | 712 | 4.9% |
| 市 | 584 | 4.0% |
| 浙 | 525 | 3.6% |
| 北 | 507 | 3.5% |
| 西 | 442 | 3.0% |
| 南 | 421 | 2.9% |
| Other values (84) | 4487 |
first_order_province_grp
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 340.3 KiB |
| North | |
|---|---|
| South | |
| West | |
| Unk | 142 |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.6906 |
| Min length | 3 |
Characters and Unicode
| Total characters | 23453 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | South |
|---|---|
| 2nd row | Unk |
| 3rd row | West |
| 4th row | North |
| 5th row | South |
Common Values
| Value | Count | Frequency (%) |
| North | 1840 | |
| South | 1755 | |
| West | 1263 | |
| Unk | 142 | 2.8% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| north | 1840 | |
| south | 1755 | |
| west | 1263 | |
| unk | 142 | 2.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 4858 | |
| o | 3595 | |
| h | 3595 | |
| N | 1840 | 7.8% |
| r | 1840 | 7.8% |
| S | 1755 | 7.5% |
| u | 1755 | 7.5% |
| W | 1263 | 5.4% |
| e | 1263 | 5.4% |
| s | 1263 | 5.4% |
| Other values (3) | 426 | 1.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 23453 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| t | 4858 | |
| o | 3595 | |
| h | 3595 | |
| N | 1840 | 7.8% |
| r | 1840 | 7.8% |
| S | 1755 | 7.5% |
| u | 1755 | 7.5% |
| W | 1263 | 5.4% |
| e | 1263 | 5.4% |
| s | 1263 | 5.4% |
| Other values (3) | 426 | 1.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 23453 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| t | 4858 | |
| o | 3595 | |
| h | 3595 | |
| N | 1840 | 7.8% |
| r | 1840 | 7.8% |
| S | 1755 | 7.5% |
| u | 1755 | 7.5% |
| W | 1263 | 5.4% |
| e | 1263 | 5.4% |
| s | 1263 | 5.4% |
| Other values (3) | 426 | 1.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 23453 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| t | 4858 | |
| o | 3595 | |
| h | 3595 | |
| N | 1840 | 7.8% |
| r | 1840 | 7.8% |
| S | 1755 | 7.5% |
| u | 1755 | 7.5% |
| W | 1263 | 5.4% |
| e | 1263 | 5.4% |
| s | 1263 | 5.4% |
| Other values (3) | 426 | 1.8% |
first_order_channel_grp
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 351.3 KiB |
| Offline | |
|---|---|
| Online | 232 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.9536 |
| Min length | 6 |
Characters and Unicode
| Total characters | 34768 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Offline |
|---|---|
| 2nd row | Offline |
| 3rd row | Offline |
| 4th row | Offline |
| 5th row | Offline |
Common Values
| Value | Count | Frequency (%) |
| Offline | 4768 | |
| Online | 232 | 4.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| offline | 4768 | |
| online | 232 | 4.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 9536 | |
| n | 5232 | |
| O | 5000 | |
| l | 5000 | |
| i | 5000 | |
| e | 5000 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 34768 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| f | 9536 | |
| n | 5232 | |
| O | 5000 | |
| l | 5000 | |
| i | 5000 | |
| e | 5000 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 34768 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| f | 9536 | |
| n | 5232 | |
| O | 5000 | |
| l | 5000 | |
| i | 5000 | |
| e | 5000 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 34768 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| f | 9536 | |
| n | 5232 | |
| O | 5000 | |
| l | 5000 | |
| i | 5000 | |
| e | 5000 |
reg_channel_grp
Categorical
HIGH CORRELATION IMBALANCE
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 350.4 KiB |
| Offline | |
|---|---|
| Online | |
| Others | 4 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 6.767 |
| Min length | 6 |
Characters and Unicode
| Total characters | 33835 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Offline |
|---|---|
| 2nd row | Offline |
| 3rd row | Offline |
| 4th row | Offline |
| 5th row | Online |
Common Values
| Value | Count | Frequency (%) |
| Offline | 3835 | |
| Online | 1161 | 23.2% |
| Others | 4 | 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| offline | 3835 | |
| online | 1161 | 23.2% |
| others | 4 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 7670 | |
| n | 6157 | |
| O | 5000 | |
| e | 5000 | |
| l | 4996 | |
| i | 4996 | |
| t | 4 | < 0.1% |
| h | 4 | < 0.1% |
| r | 4 | < 0.1% |
| s | 4 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 33835 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| f | 7670 | |
| n | 6157 | |
| O | 5000 | |
| e | 5000 | |
| l | 4996 | |
| i | 4996 | |
| t | 4 | < 0.1% |
| h | 4 | < 0.1% |
| r | 4 | < 0.1% |
| s | 4 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 33835 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| f | 7670 | |
| n | 6157 | |
| O | 5000 | |
| e | 5000 | |
| l | 4996 | |
| i | 4996 | |
| t | 4 | < 0.1% |
| h | 4 | < 0.1% |
| r | 4 | < 0.1% |
| s | 4 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 33835 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| f | 7670 | |
| n | 6157 | |
| O | 5000 | |
| e | 5000 | |
| l | 4996 | |
| i | 4996 | |
| t | 4 | < 0.1% |
| h | 4 | < 0.1% |
| r | 4 | < 0.1% |
| s | 4 | < 0.1% |
| baby_age_first_order | baby_age_last_order | baby_residual_lifecycle | cltv | customer_lifecycle | first_order_channel | first_order_channel_grp | first_order_jar | first_order_province_grp | first_repurchase_interval | frisomum | gold | last_repurchase_interval | order_conversion_jar | prestige | reg_channel | reg_channel_grp | stage_f0 | stage_f1 | stage_f2 | stage_f3 | stage_f4 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| baby_age_first_order | 1.000 | 0.839 | -0.974 | -0.058 | -0.045 | 0.000 | 0.000 | 0.010 | 0.040 | -0.078 | 0.000 | 0.203 | -0.138 | -0.305 | 0.210 | 0.268 | 0.000 | 0.000 | 0.108 | 0.095 | 0.503 | 0.108 |
| baby_age_last_order | 0.839 | 1.000 | -0.814 | 0.235 | 0.298 | 0.000 | 0.000 | 0.024 | 0.041 | 0.487 | 0.000 | 0.146 | 0.465 | -0.265 | 0.151 | 0.303 | 0.000 | 0.000 | 0.120 | 0.028 | 0.374 | 0.108 |
| baby_residual_lifecycle | -0.974 | -0.814 | 1.000 | 0.053 | 0.038 | 0.058 | 0.128 | -0.011 | 0.061 | 0.065 | 0.240 | 0.220 | 0.129 | 0.314 | 0.264 | 0.096 | 0.082 | 0.240 | 0.398 | 0.379 | 0.505 | 0.230 |
| cltv | -0.058 | 0.235 | 0.053 | 1.000 | 0.609 | 0.000 | 0.038 | 0.327 | 0.026 | 0.189 | 0.066 | 0.106 | 0.562 | 0.297 | 0.107 | 0.000 | 0.021 | 0.066 | 0.000 | 0.022 | 0.060 | 0.000 |
| customer_lifecycle | -0.045 | 0.298 | 0.038 | 0.609 | 1.000 | 0.047 | 0.100 | 0.105 | 0.015 | 0.767 | 0.000 | 0.046 | 0.924 | 0.114 | 0.048 | 0.065 | 0.037 | 0.000 | 0.023 | 0.059 | 0.132 | 0.069 |
| first_order_channel | 0.000 | 0.000 | 0.058 | 0.000 | 0.047 | 1.000 | 1.000 | -0.027 | 0.020 | 0.154 | 0.043 | 0.086 | 0.022 | 0.028 | 0.096 | 0.790 | 0.189 | 0.043 | 0.142 | 0.131 | 0.000 | 0.000 |
| first_order_channel_grp | 0.000 | 0.000 | 0.128 | 0.038 | 0.100 | 1.000 | 1.000 | 0.037 | 0.024 | -0.155 | 0.023 | 0.000 | -0.022 | -0.024 | 0.016 | 0.753 | 0.263 | 0.023 | 0.142 | 0.131 | 0.000 | 0.000 |
| first_order_jar | 0.010 | 0.024 | -0.011 | 0.327 | 0.105 | -0.027 | 0.037 | 1.000 | 0.013 | -0.092 | 0.327 | 0.065 | 0.027 | 0.566 | 0.104 | 0.000 | 0.058 | 0.327 | 0.014 | 0.062 | 0.147 | 0.000 |
| first_order_province_grp | 0.040 | 0.041 | 0.061 | 0.026 | 0.015 | 0.020 | 0.024 | 0.013 | 1.000 | -0.023 | 0.000 | 0.242 | 0.036 | -0.020 | 0.247 | 0.182 | 0.077 | 0.000 | 0.120 | 0.119 | 0.033 | 0.027 |
| first_repurchase_interval | -0.078 | 0.487 | 0.065 | 0.189 | 0.767 | 0.154 | -0.155 | -0.092 | -0.023 | 1.000 | 0.043 | 0.146 | 0.818 | -0.132 | 0.169 | 0.060 | 0.107 | 0.043 | 0.097 | 0.072 | 0.046 | 0.000 |
| frisomum | 0.000 | 0.000 | 0.240 | 0.066 | 0.000 | 0.043 | 0.023 | 0.327 | 0.000 | 0.043 | 1.000 | 0.147 | -0.058 | 0.236 | 0.076 | 0.163 | 0.157 | 0.993 | 0.073 | 0.132 | 0.000 | 0.000 |
| gold | 0.203 | 0.146 | 0.220 | 0.106 | 0.046 | 0.086 | 0.000 | 0.065 | 0.242 | 0.146 | 0.147 | 1.000 | 0.202 | 0.622 | 0.971 | 0.853 | 0.088 | 0.147 | 0.063 | 0.050 | 0.187 | 0.000 |
| last_repurchase_interval | -0.138 | 0.465 | 0.129 | 0.562 | 0.924 | 0.022 | -0.022 | 0.027 | 0.036 | 0.818 | -0.058 | 0.202 | 1.000 | 0.153 | 0.087 | 0.055 | 0.115 | 0.065 | 0.067 | 0.036 | 0.000 | 0.000 |
| order_conversion_jar | -0.305 | -0.265 | 0.314 | 0.297 | 0.114 | 0.028 | -0.024 | 0.566 | -0.020 | -0.132 | 0.236 | 0.622 | 0.153 | 1.000 | 0.103 | 0.000 | 0.051 | 0.316 | 0.000 | 0.072 | 0.161 | 0.000 |
| prestige | 0.210 | 0.151 | 0.264 | 0.107 | 0.048 | 0.096 | 0.016 | 0.104 | 0.247 | 0.169 | 0.076 | 0.971 | 0.087 | 0.103 | 1.000 | 0.854 | 0.053 | 0.076 | 0.041 | 0.017 | 0.195 | 0.000 |
| reg_channel | 0.268 | 0.303 | 0.096 | 0.000 | 0.065 | 0.790 | 0.753 | 0.000 | 0.182 | 0.060 | 0.163 | 0.853 | 0.055 | 0.000 | 0.854 | 1.000 | 0.999 | 0.163 | 0.135 | 0.144 | 0.201 | 0.000 |
| reg_channel_grp | 0.000 | 0.000 | 0.082 | 0.021 | 0.037 | 0.189 | 0.263 | 0.058 | 0.077 | 0.107 | 0.157 | 0.088 | 0.115 | 0.051 | 0.053 | 0.999 | 1.000 | 0.157 | 0.080 | 0.036 | 0.020 | 0.016 |
| stage_f0 | 0.000 | 0.000 | 0.240 | 0.066 | 0.000 | 0.043 | 0.023 | 0.327 | 0.000 | 0.043 | 0.993 | 0.147 | 0.065 | 0.316 | 0.076 | 0.163 | 0.157 | 1.000 | 0.073 | 0.132 | 0.000 | 0.000 |
| stage_f1 | 0.108 | 0.120 | 0.398 | 0.000 | 0.023 | 0.142 | 0.142 | 0.014 | 0.120 | 0.097 | 0.073 | 0.063 | 0.067 | 0.000 | 0.041 | 0.135 | 0.080 | 0.073 | 1.000 | 0.891 | 0.154 | 0.023 |
| stage_f2 | 0.095 | 0.028 | 0.379 | 0.022 | 0.059 | 0.131 | 0.131 | 0.062 | 0.119 | 0.072 | 0.132 | 0.050 | 0.036 | 0.072 | 0.017 | 0.144 | 0.036 | 0.132 | 0.891 | 1.000 | 0.220 | 0.038 |
| stage_f3 | 0.503 | 0.374 | 0.505 | 0.060 | 0.132 | 0.000 | 0.000 | 0.147 | 0.033 | 0.046 | 0.000 | 0.187 | 0.000 | 0.161 | 0.195 | 0.201 | 0.020 | 0.000 | 0.154 | 0.220 | 1.000 | 0.000 |
| stage_f4 | 0.108 | 0.108 | 0.230 | 0.000 | 0.069 | 0.000 | 0.000 | 0.000 | 0.027 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.016 | 0.000 | 0.023 | 0.038 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| dac_id | reg_channel | baby_residual_lifecycle | baby_age_first_order | baby_age_last_order | first_order_channel | first_order_jar | order_conversion_jar | prestige | frisomum | gold | stage_f0 | stage_f1 | stage_f2 | stage_f3 | stage_f4 | customer_lifecycle_finished_flag | first_repurchase_interval | last_repurchase_interval | customer_lifecycle | cltv | first_order_province | first_order_province_grp | first_order_channel_grp | reg_channel_grp | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2308 | 787e290e-d683-11e8-8187-022fee61b306 | 线下 | 1335.0 | 4.0 | 4.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 浙江省 | South | Offline | Offline |
| 22404 | 5b636287-d684-11e8-8187-022fee61b306 | CRM系统 | 1250.0 | 6.0 | 6.0 | 线下门店 | 1 | 0.95 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 0.95 | NaN | Unk | Offline | Offline |
| 23397 | d2e74f16-d683-11e8-8187-022fee61b306 | CRM系统 | 1120.0 | 11.0 | 11.0 | 线下门店 | 1 | 0.95 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Y | 10.0 | 10.0 | 375 | 2.75 | 广西壮族自治区 | West | Offline | Offline |
| 25058 | 5faaacca-d684-11e8-8187-022fee61b306 | 线下 | 1409.0 | 1.0 | 1.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | Y | NaN | NaN | 366 | 1.00 | 安徽省 | North | Offline | Offline |
| 2664 | bb2c7df4-d684-11e8-8187-022fee61b306 | 品牌微信 | 1536.0 | -2.0 | -2.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 368 | 1.00 | 福建省 | South | Offline | Online |
| 8511 | 127b1090-d684-11e8-8187-022fee61b306 | 线下 | 1380.0 | 2.0 | 10.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | 135.0 | 244.0 | 609 | 10.00 | 广东省 | South | Offline | Offline |
| 5148 | 192eb3e8-d684-11e8-8187-022fee61b306 | 品牌微信 | 1180.0 | 9.0 | 9.0 | 线下门店 | 1 | 0.90 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | Y | NaN | 0.0 | 365 | 1.80 | 北京市 | North | Offline | Online |
| 7790 | 84896107-d683-11e8-8187-022fee61b306 | 线下 | 1367.0 | 3.0 | 3.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 上海市 | South | Offline | Offline |
| 11311 | 852f779a-d683-11e8-8187-022fee61b306 | CRM系统 | 1306.0 | 5.0 | 5.0 | 线下门店 | 1 | 1.00 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 江苏省 | North | Offline | Offline |
| 19043 | 8efc79ac-d683-11e8-8187-022fee61b306 | 线下 | 1444.0 | 0.0 | 0.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 江西省 | South | Offline | Offline |
| dac_id | reg_channel | baby_residual_lifecycle | baby_age_first_order | baby_age_last_order | first_order_channel | first_order_jar | order_conversion_jar | prestige | frisomum | gold | stage_f0 | stage_f1 | stage_f2 | stage_f3 | stage_f4 | customer_lifecycle_finished_flag | first_repurchase_interval | last_repurchase_interval | customer_lifecycle | cltv | first_order_province | first_order_province_grp | first_order_channel_grp | reg_channel_grp | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12396 | 4c726650-d684-11e8-8187-022fee61b306 | 线下 | 1235.0 | 7.0 | 7.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 广东省 | South | Offline | Offline |
| 16067 | 67ed9fec-d683-11e8-8187-022fee61b306 | 线下 | 1419.0 | 1.0 | 1.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | Y | NaN | NaN | 366 | 1.00 | 江苏省 | North | Offline | Offline |
| 396 | b29045e1-d683-11e8-8187-022fee61b306 | 线下 | 1102.0 | 11.0 | 11.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 浙江省 | South | Offline | Offline |
| 5864 | fc645c90-d683-11e8-8187-022fee61b306 | 线下 | 1375.0 | 2.0 | 2.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | Y | NaN | NaN | 365 | 1.00 | 天津市 | North | Offline | Offline |
| 9737 | 3d485b3b-d684-11e8-8187-022fee61b306 | 品牌微信 | 1185.0 | 9.0 | 10.0 | 线下门店 | 1 | 0.95 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Y | 48.0 | 48.0 | 413 | 1.90 | 浙江省 | South | Offline | Online |
| 6778 | d769eabc-d683-11e8-8187-022fee61b306 | CRM系统 | 1315.0 | 4.0 | 11.0 | 线下门店 | 1 | 1.00 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | Y | 190.0 | 190.0 | 555 | 6.10 | 江苏省 | North | Offline | Offline |
| 25284 | 88f8458a-d684-11e8-8187-022fee61b306 | CRM系统 | 1268.0 | 6.0 | 6.0 | 线下门店 | 1 | 0.95 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Y | NaN | NaN | 365 | 0.95 | NaN | Unk | Offline | Offline |
| 18355 | e84df59c-d683-11e8-8187-022fee61b306 | 线下 | 1221.0 | 7.0 | 8.0 | 线下门店 | 1 | 1.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | 3.0 | 3.0 | 366 | 13.00 | 广东省 | South | Offline | Offline |
| 27684 | 02112b59-d684-11e8-8187-022fee61b306 | CRM系统 | 1290.0 | 5.0 | 5.0 | 线下门店 | 1 | 0.95 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | Y | NaN | 0.0 | 365 | 1.90 | 北京 | North | Offline | Offline |
| 4110 | 39628a99-d684-11e8-8187-022fee61b306 | 线下 | 1208.0 | 8.0 | 9.0 | 线下门店 | 3 | 3.00 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | Y | 30.0 | 30.0 | 395 | 12.00 | 湖南省 | West | Offline | Offline |